運用共詞分析探討人口老化研究發展趨勢

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蔡旻珊(Min-Shan Tsai) 查詢紙本館藏

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資訊管理學系

論文名稱

運用共詞分析探討人口老化研究發展趨勢
(A co-word analysis of research into population aging)

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摘要(中)

隨著醫療技術進步與出生率下降，各國已出現人口老化的現象，並產生諸多問題，而許多文獻指出人口老化已是一個廣受世界各國關注的議題，然而目前卻尚未有一個明確的資訊計量分析 (Informetric Analysis)來幫助研究者快速掌握此領域的發展情形，以促進該領域的發展。因此，本研究以社會網路分析觀點探討人口老化領域的整體研究趨勢，並發掘此領域最具影響力之學者、機構與國家。
本研究分析Scopus學術資料庫中2002年到2016年人口老化相關文獻，並將文獻分成前期（2002年到2006年）、中期（2007年到2011年）、後期（2012年到2016年）三個時期，採用共詞分析 (Co-word analysis)技術建構人口老化領域的文獻知識地圖，以辨識該領域的整體知識，並找出其知識缺口。
本研究結果顯示各時期人口老化中不同主題的研究程度，本研究發現前期屬於研究初期，研究議題較分散，還未發展出主流議題，而中期的主題相對前期來得多樣，也已出現主流議題，像是chronic disease、obesity、social support、life course以及China等。到了後期主題更趨多元化，主流議題包含有cardiovascular disease、cancer、mortality、muscle、Australia、health care planning、health expenditures等，在此時期更增加許多具潛力的新興主題，很可能成為未來發展的主流，例如social security、health、pensions以及epidemiology等。
本研究詳細地描繪人口老化領域的整體研究發展狀況，能幫助研究者快速找出此領域的研究缺口與趨勢，並找出合適的合作對象，政府與相關機構也可透過本研究結果將資源分配給較有效率的學者或機構，以加快該領域之發展。

摘要(英)

The phenomenon of population aging is being witnessed around the world owing to advances in medical technology and the decline in birth rates. This phenomenon produces many problems. Many literature sources point out that population aging is a matter of concern globally. However, no previous study has undertaken a comprehensive informetric analysis on this topic. To fill this research gap, this study examines the research patterns and trends of population aging from the perspective of social network analysis and also explores the most influential scholars, institutions, and countries in this field.
Relevant data were collected between 2002 and 2016 from the Scopus database and divided into three periods: the pre-period (2002 to 2006), the medium-term period (2007 to 2011), and the later period (2012 to 2016). This study used co-word analysis to reveal patterns and trends in population aging so as to help researchers identify critical research gaps.
The results of this study revealed the degree of research on different themes of population aging in each period. It also found that the themes were scattered and that mainstream issues had not yet developed in the pre-period because that was just the beginning of the research. The medium-term topics were more diverse than those in the pre-period. Mainstream issues such as chronic disease, obesity, social support, life course and China also appeared during this period. In the later period, research themes of population aging tended to be even more diversified and included mainstream topics such as cardiovascular disease, cancer mortality, muscle, Australia, health care planning and health expenditures. Many themes such as social security, health, pensions and epidemiology are likely to become mainstream issues in the future during this period.
The patterns of population aging revealed in this study can help researchers identify critical research gaps and find proper collaborators. Governments and other relevant organizations may also allocate more resources to efficient academics and institutions on the basis of our results in order to promote the development of this field.

關鍵字(中)

★ 人口老化
★ 共詞分析
★ 社會網路分析

關鍵字(英)

★ Population aging
★ Co-word analysis
★ Social network analysis

論文目次

中文摘要 i
英文摘要 ii
目錄 iii
圖目錄 vi
表目錄 vii
一、緒論 1
1-1 研究背景 1
1-2 研究動機 2
1-3 研究目的 3
1-4 研究貢獻 3
1-5 論文架構 3
二、文獻探討 4
2-1 人口老化 4
2-2 共詞分析 5
2-3 人口老化文獻回顧研究 6
2-4 小結 7
三、研究方法 8
3-1 資料蒐集 8
3-2 資料前處理 8
3-3 共詞分析 9
3-4 視覺化 10
四、實驗結果與討論 11
4-1 文獻數量變化趨勢 11
4-2 關鍵字頻率分析 12
4-3 主要關鍵字群集之演進 17
4-4 各時期關鍵字之分類 26
4-5 文獻產量分析（作者） 31
4-6 文獻產量分析（機構） 32
4-7 文獻產量分析（國家） 34
五、結論與建議 36
5-1 研究結論 36
5-1-1 文獻與關鍵字數量之變化 36
5-1-2 作者、機構與國家文獻數量之結果 37
5-1-3 共詞分析之結果 37
5-2 研究限制與未來建議 39
參考文獻 40
附錄一關鍵字頻率表 45
附錄二 2002到2006年（前期）群集之中心性與密度 48
附錄三 2002到2006年（前期）群集之關鍵字 49
附錄四 2007到2011年（中期）群集之中心性與密度 51
附錄五 2007到2011年（中期）群集之關鍵字 52
附錄六 2007到2011年（中期）incidence群集內部網路圖 56
附錄七 2007到2011年（中期）Europe群集內部網路圖 57
附錄八 2012到2016年（後期）群集之中心性與密度 58
附錄九 2012到2016年（後期）群集之關鍵字 59
附錄十 2012到2016年（後期）social security群集內部網路圖 67
附錄十一 2012到2016年（後期）risk factors群集內部網路圖 68
附錄十二 2012到2016年（後期）epidemiology群集內部網路圖 69
附錄十三 2012到2016年（後期）caregiving群集內部網路圖 70
附錄十四作者文獻產量表 71
附錄十五機構文獻產量表 73
附錄十六國家文獻產量表 76

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指導教授

林熙禎

審核日期

2017-7-25

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